Stratigraphic Sequence Correlation Based onWavelet Transform of Well-logging Data: Taking the coal 2 bearing strata of Permo-carboniferous system in Luxi and J iyangArea as an example
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摘要: 测井数据蕴藏着非常丰富的地质信息,是迄今为止能够获得的分辨率最高、连续性最好的地质数据之一。测井信号的时频分析将一维的测井信号变换到二维的时频域,进而使其内部的能量聚集与分布得以清晰展示,利用测井信号沿时间方向上的差异性可以获取地层的旋回性等地质信息。通过连续小波变换对测井信号进行高质量的时频分析,运用小波变换的多尺度、多分辨率的特性进行层序、准层序的划分。同时通过小波时频分析寻找不同类型的体系域与小波时频特征之间的对应关系,分析层序内部的沉积特征及内部精细结构,建立了海侵体系域、高水位体系域和海退体系域的小波变换能谱地质模型,方便、快捷的实现了体系域的划分。最后在测井信号小波变换的基础上对鲁西和济阳凹陷的含煤地层进行了层序对比和分析,基本建立了山东地区晚古生代主要含煤地层的层序地层格架。Abstract: The well logging data contains plenty of geological information and is one of geological data obtained by now with the highest resolution and best continuity. The time-frequency analysis transforms the one-dimension well signals into the two-dimension domain of time-frequency, which makes the collection and distribution of its inner energy clearly revealed. Then the geological information such as the cycle of stratigraphy can be obtained utilizing the otherness of logging signals in the axis of time. According to continuouswavelet transform, the high quality time-frequency analysis is performed. With the characteristics of wavelet transform such as multi-scale, multi-resolution the sequence and parasequence are clarified. Synchronously with wavelet analysis searching the corresponding relation between various system tracts and the features of time-frequency, analyzing the sedimentary features of sequence and inner elaborate structure, the geological models of wavelet transform spectrum about TST, HST and RST are built up,which can realize the clarification of system tracts quickly and conveniently. At last, based on the wavelet transform of logging signals, the stratigraphic sequence correlation and analysis of the coalbearing strata of Permo-Carboniferous in Luxi and J iyang area have been done. The stratigraphic sequence framework of main coal-bearing strata formed in Neopaleozoic in Shandong area is established
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Key words:
- logging data /
- wavelet transform /
- spectrum analysis /
- system tract /
- stratigraphic sequence correlation
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[1] 1 李庆谋,刘少华. 地球物理测井序列的小波波谱方法[J].地球物理学进展,2002,(01):78-83.
2 王明镇,李增学,余继峰. 鲁西-济阳石炭、二叠系层序地层对比[J].煤田地质与勘探,2003,(05):1-4.
3 崔凤林,谢春来,付雷. 小波变换时频能量谱技术在地震层序划分中的应用[J].长春科技大学学报,2000,(02):397-399.
4 李定龙,周治安,汪才会. 小波分析在地质分形科学中的应用前景[J].地质科技管理,1997.48-51.
5 陈桂明,张明照,戚红雨. 应用Matlab语言处理数字信号与数字图象[M].北京:科学出版社,2000.
6 邓自旺,林振山,周小兰. 西安市近50年来气候变化多时间尺度分析[J].高原气象,1997,(01):81-93.
7 余继峰,李增学. 测井数据的小波变换及其地质意义[J].中国矿业大学学报,2003,(03):34-38.
8 李江涛,余继峰,李增学. 基于测井数据小波变换的层序划分[J].煤田地质与勘探,2004,(02):48-50.
9 雷克辉,朱广生,毛宁波. 在小波时频域中研究沉积旋回[J].石油地球物理勘探,1998,(zk):72-79.
10 李增学,魏久传,王明镇. 华北陆表海盆地南部层序地层分析[M].北京:地质出版社,1998.35-63.
11 李增学,魏久传,李守春. 山东及临区石炭二叠系含煤地层的层序地层式样. 沉积学报, 1995, 13 (增刊) : 18 ～26
12 李增学, 李守春, 魏久传. 鲁西煤田内陆表海含煤层序的小层序类型及煤聚积规律. 沉积学报, 1996, 14 (3) : 38～46
13 李增学, 余继峰, 郭建斌, 等. 陆表海盆地海侵事件成煤作用机制分析. 沉积学报, 2003, 21 (2) : 288 ～297
14 曹忠祥,刘华,王玉林. 济阳坳陷石炭二叠系沉积与层序地层分析. 山东科技大学学报(自然科学版) , 2004, 21 ⑵: 68 ～71 -
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